Instructions to use google/electra-large-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/electra-large-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google/electra-large-generator")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google/electra-large-generator") model = AutoModelForMaskedLM.from_pretrained("google/electra-large-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1af4782bdca5a44a86a7986bccf2e6dfeb349f34ceadb8a06f3e3d5fba9ffa68
- Size of remote file:
- 205 MB
- SHA256:
- 0b39cd7bf4d714e0847255f198341da173ce60795e9f2e8e1a6b5242a3158d84
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